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. This includes creating workshops, syllabi, lesson plans, hands-on exercises, assignments, and assessments that cover topics such as AI fundamentals, machine learning concepts, prompt engineering techniques, and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 26 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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Computer Engineering program and develop and maintain a nationally and internationally recognized externally funded research program in their technical fields. Teach and mentor students at both
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Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least 3 years of relevant research experience in microwave and RF device modelling and design. Strong background in
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14 Mar 2026 Job Information Organisation/Company Università degli studi di Ferrara Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Part-Time Lecturer Pool - Computer Engineering (AY 26/27) Apply now Job no: 556025 Work type: Instructional Faculty - Temporary/Lecturer Location: Cal Poly - San Luis Obispo Campus Categories: Unit
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of the 1973 Rehabilitation Act and the Americans with Disabilities Act (ADA); strong knowledge of Assistive Learning Technology, including hardware and software for students with disabilities. Requires working
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administration. Required Skills, Knowledge and Abilities: Intermediate proficiency in technology use, including Microsoft Office applications, CRM, such as Slate and Zoom. Demonstrated success in working in
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engineering? Then this professor position might be for you. We are looking for a new professor to lead research in probabilistic machine learning, with a focus on areas such as deep generative models, Bayesian